L. Vanhamme
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
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- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
Papers in
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- Advanced MRI Techniques and Applications 12
- Ultrasound Imaging and Elastography 2
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- NMR spectroscopy and applications 7
- Co-authors
- Sabine Van Huffel (12 shared papers)Johan A. K. Suykens (4 shared papers)Marinette van der Graaf (4 shared papers)Andy Devos (4 shared papers)Franklyn A. Howe (2 shared papers)A. Rosemary Tate (2 shared papers)Àngel Moreno‐Torres (2 shared papers)Carles Arús (2 shared papers)
- Journals
- Journal of Magnetic Resonance (4 papers)Artificial Intelligence in Medicine (1 paper)Computer Methods and Programs in Biomedicine (1 paper)NMR in Biomedicine (1 paper)PubMed (1 paper)
- Partner nations
- BelgiumNetherlandsUnited Kingdom
In The Last Decade
L. Vanhamme
13 papers receiving 447 citations
Peers
Comparison fields: 5 of 71
- Neurology 125
- Radiology, Nuclear Medicine and Imaging 266
- Computational Mathematics 4
- Genetics 56
- Biophysics 28
Countries citing papers authored by L. Vanhamme
This map shows the geographic impact of L. Vanhamme's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by L. Vanhamme with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Vanhamme more than expected).
Fields of papers citing papers by L. Vanhamme
This network shows the impact of papers produced by L. Vanhamme. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by L. Vanhamme. The network helps show where L. Vanhamme may publish in the future.
Co-authors
The 25 scholars most cited alongside L. Vanhamme, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 136 | |
| 2 | 2004 | 132 | |
| 3 | 2002 | 81 | |
| 4 | 2005 | 70 | |
| 5 | 2004 | 21 | |
| 6 | 2005 | 20 | |
| 7 | 1998 | 9 | |
| 8 | 2003 | 4 | |
| 9 | 2006 | 3 | |
| 10 | 2002 | 2 | |
| 11 | 2002 | 1 | |
| 12 | Biomedical Magnetic Resonance Spectroscopic Quantitation : a Review of Modern time-domain Analysis Methods | 2001 | 1 |
| 13 | 2002 | 1 |
About L. Vanhamme
L. Vanhamme is a scholar working on Radiology, Nuclear Medicine and Imaging, Nuclear and High Energy Physics, Spectroscopy, Analytical Chemistry and Molecular Biology, having authored 13 papers that have together received 481 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (12 papers), NMR spectroscopy and applications (7 papers), Spectroscopy and Chemometric Analyses (4 papers), Advanced NMR Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Ultrasound Imaging and Elastography (2 papers), Brain Tumor Detection and Classification (2 papers) and Blind Source Separation Techniques (1 paper). The work is most often cited by research in Neurology (125 citations), Radiology, Nuclear Medicine and Imaging (266 citations), Computational Mathematics (4 citations), Genetics (56 citations) and Biophysics (28 citations). L. Vanhamme has collaborated with scholars based in Belgium, Netherlands and United Kingdom. Frequent co-authors include Sabine Van Huffel, Johan A. K. Suykens, Marinette van der Graaf, Andy Devos, Franklyn A. Howe, A. Rosemary Tate, Àngel Moreno‐Torres, Carles Arús, Carles Majós and Paul Van Hecke. Their work appears in journals such as Journal of Magnetic Resonance, Artificial Intelligence in Medicine, Computer Methods and Programs in Biomedicine, NMR in Biomedicine and PubMed.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.